The aim of the project of project is to build an ICT based framework to support the early diagnosis of infectious diseases. The project includes the design, development and implementation of a Hardware platform capable to support the communication of the pervasive system with the central cloud environment. The final part will be a subsystem capable to support aided clinical diagnosis in the field of infectious diseases. This subsystem will include an inference system built upon Machine Learning to improve decision support for the prevention, treatment and management of infectious illness. Apart from that, the system will be able to run in an isolated and pervasive way to avoid problems in low connected regions. Finally, there will be a centralized pattern recognition system designed to detect disease and health patterns in collected data. The main goal of this project is to provide health services and home care by using technologies of social and medical telecare, to achieve a great efficiency in the organization and management of the primary health care reducing costs. The following specific objectives are: • To develop a big database of clinical registers of institutionalized patients based in data obtained by patient telemonitoring. • To develop an algorithm that allows early detection of urinary and respiratory diseases. • To analyse the influence of the algorithm application in frequenting emergency services. • To develop the telemonitoring system in an area without easy availability to health resources. • To analyse the influence of the system development in the detection and treatment of infectious diseases. This project will ease the communication between European medical knowledge holders and Latin America’s and viceversa.
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